Gorgonia
gotch
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| Gorgonia | gotch | |
|---|---|---|
| 21 | 3 | |
| 5,333 | 507 | |
| 1.1% | - | |
| 2.8 | 7.5 | |
| 23 days ago | 3 months ago | |
| Go | Go | |
| Apache License 2.0 | Apache License 2.0 |
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Gorgonia
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Machine Learning en GO! 🤯
GitHub - gorgonia/gorgonia: Gorgonia is a library that helps facilitate machine learning in Go.
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Machine Learning
I did end up writing and using a custom library for Random Forest (it's also in AwesomGo) in one real-world project (detecting Alzheimer's and Parkinson's from speech from a mobile app) - https://github.com/malaschitz/randomForest I had better results than the team who used TensorFlow and most importantly I didn't have to use any other technology than Go. For NN's it's probably best to use https://gorgonia.org/ - but it's not exactly a user friendly library. But there is a whole book on it - Hands-On Deep Learning with Go.
- Why isn’t Go used in AI/ML?
- GoLang AI/ML open source projects
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A systematic framework for technical documentation authoring
Perhaps it's a product of French culture, but because Gorgonia[0] has a number of French contributors, this was actually the way we structured our documentation.
But this is the first time I've heard of the name of the framework.
[0]: https://gorgonia.org
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[D] When was the last time you wrote a custom neural net?
Oh it's.Gorgonia
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Most Popular GoLang Frameworks
Website: https://gorgonia.org
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[D] What framework are you using?
I use Gorgonia.
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Why can't Go be popular for machine learning?
What you think about this https://github.com/gorgonia/gorgonia ? I also recall there is something else out there but can't find it at the moment...
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Neural networks in golang
Yep, all of them: https://github.com/gorgonia/gorgonia
gotch
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Why can't Go be popular for machine learning?
CGO? Too much overhead in calling C functions (in which you can wrap libtorch or TF C++ code). And too much struggling woth CUDA (actually all GPU stuff). But, there are interesting attempts: https://github.com/gorgonia/gorgonia (I love it most), https://github.com/sugarme/gotch (bindings to libtorch), https://github.com/nlpodyssey/spago.
- Go+: designed for data science
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Tensorflow
- libtorch: https://github.com/sugarme/gotch both training and inference are supported
What are some alternatives?
onnx-go - onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.
Buffalo - Rapid Web Development w/ Go
GoLearn - Machine Learning for Go
kratos - Your ultimate Go microservices framework for the cloud-native era.
tfgo - Tensorflow + Go, the gopher way
spaGO - Self-contained Machine Learning and Natural Language Processing library in Go
goml - On-line Machine Learning in Go (and so much more)
Iris - The fastest HTTP/2 Go Web Framework. New, modern and easy to learn. Fast development with Code you control. Unbeatable cost-performance ratio :rocket:
gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library
Fiber - ⚡️ Express inspired web framework written in Go
bayesian - Naive Bayesian Classification for Golang.